Description: Econometric Applications of Maximum Likelihood Methods The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before. Jan Salomon Cramer (Author) 9780521378574, Cambridge University Press Paperback / softback, published 28 April 1989 224 pages 22.4 x 14.4 x 1.3 cm, 0.34 kg The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own. Subject Areas: Econometrics [KCH]
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BIC Subject Area 1: Econometrics [KCH]
Book Title: Econometric Applications of Maximum Likelihood Methods
ISBN: 0521378575
Publication Date: 28/04/1989
Item Depth: 13
Number of Pages: 224 Pages
Publication Name: Econometric Applications of Maximum Likelihood Methods
Language: English
Publisher: Cambridge University Press
Item Height: 229 mm
Subject: Economics
Publication Year: 1989
Type: Textbook
Item Weight: 340 g
Author: Jan Salomon Cramer
Item Width: 152 mm
Format: Paperback